Data Science Foundations for Beginners: Statistics, Probability & Linear Algebra

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Data Science for Beginners:
5-Day Foundations Bootcamp

Are you eager to kickstart your career in data science but need help knowing where to begin?

We’ve got you covered! In 5 days, transform your skills and boost your confidence with our intensive, hands-on boot camp!

Note: Workshop is free. It will be only for participants who are keen to learn. Selected participants will be informed via email within 2 days.

Instructed by

Prudhvi

Founder, Supervised Learning

Expertise:

8+ years in Data Science

Impact:

Helped 500+ students launch careers in Data Science

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What you’ll learn

Python Basics

Start from scratch and master the essential language of data science.

Python Basics

Start from scratch and master the essential language of data science.

Data Manipulation

Learn from structured content developed by seasoned industry experts, ensuring you gain the most relevant and practical data science skills.

Data Manipulation

Learn from structured content developed by seasoned industry experts, ensuring you gain the most relevant and practical data science skills.

Data Visualisation

Create stunning visuals with Matplotlib and Seaborn to tell compelling data stories.

Data Visualisation

Create stunning visuals with Matplotlib and Seaborn to tell compelling data stories.

Essential Math

Grasp the fundamental math concepts crucial for data science.

Essential Math

Grasp the fundamental math concepts crucial for data science.

Why & how

SKILL	Why It’s Important	How it Helps
Python Basics	The main language for data science.	Enables coding and automation of data tasks.
Data Manipulation	Key for organizing and analyzing data.	Allows efficient data cleaning and preparation.
Data Visualisation	Essential for creating impactful visual insights.	Helps communicate findings clearly and effectively.
Essential Math	Fundamental for understanding and building models.	Provides tools to analyze data and develop models

Why this bootcamp?

Live classes

Interactive sessions to learn directly from the Chief Mentor, Prudhvi P. Students can learn through Q&A & discussion.

Recorded sessions

Content that can be learned at your own pace and time with hands-on learning.

Assignments

Problem statements to implement and reinforce your learnings

Exciting Prizes

Scholarships to End to End Data Science Course for students with the best performance in the boot camp.

What will you learn in the workshop?

Unveil the power of data in just 5 days!

This intensive course equips you with the essential mathematical building blocks for data science success.

By the end of this course, you’ll be empowered to confidently approach data with a solid understanding of the core mathematical concepts that fuel data science.

In this session, learners will gain an understanding of the mathematics behind the statistical models, and data fundamentals of how to build a visual on data.

In this session, learners will discover how probability is used in day to day life, how data scientists leverage probabilistic models to build real-life use cases like dynamic pricing, click prediction, and churn reduction.

In this session, learners will get deep details of each of the jargon – Gen AI / NLP / etc and how it is helping businesses, how we can get skilled to get a job in this field. Learners will understand what’s hyped, what’s real life Data Science

In this session, learners will revise the deepest equations, and mathematics behind the Machine Learning and AI models. How fundamentally does this model work, what aspects of Linear Algebra and maths are used to build such models, and brush up on the fundamentals in the context of DS and AI.

In this session, learners will understand how matrices revolutionized the world of AI, how matrix multiplication leads to building better and faster models, how GPUs leverage matrix multiplication at scale, and other matrix operations fundamental to data scientists.

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80% of Data Science’s real job is cleaning and munging it. In this module,we will teach from scratch how to load data, process it, clean it and make it ready for training and modelling.

By the end of this course, you’ll be empowered to confidently approach data with a solid understanding of the core mathematical concepts that fuel data science.

This module helps learners learn Python from Zero. We will help you set up your environment and start running Python Scripts. This module is designed for complete beginners who have never coded in the past. In the next part of this module, learners will discover data types, and different operations with each data type – lists, strings dicts, etc.

This module introduces the easiest way to create arrays which are used heavily in building Machine Learning and AI applications. We will learn to play with arrays, a crucial ML engineering skill.

80% of Data Science’s real job is cleaning and munging it. In this module,we will teach from scratch how to load data, process it, clean it and make it ready for training and modelling.

A picture is equal to 1000 words. In this module, we will teach you how to build a visualization from the data, different types of visualization, and customizing them to tell a story all with open source packages in a very easy and simple way

Tab Item Content

This module introduces the easiest way to create arrays which are used heavily in building Machine Learning and AI applications. We will learn to play with arrays, a crucial ML engineering skill.

80% of Data Science’s real job is cleaning and munging it. In this module,we will teach from scratch how to load data, process it, clean it and make it ready for training and modelling.

Who should join?

Workshop outcomes

Apply probability concepts to assess chance and uncertainty in data.

Utilize Bayes' theorem for real-world applications in machine learning.

Summarize and analyze data using descriptive statistics.

Understand sampling techniques and data types for effective modelling.

Leverage central tendencies, quartiles, and variance to interpret data behaviour.

Decipher key probability distributions and their applications.

Gain a foundational understanding of linear algebra for data science applications.

Still, is the workshop for you?

If you checked ANY of the boxes below, then this workshop is perfect for you😁

You’re interested in data science but overwhelmed by the vast amount of information and jargon. You lack the foundational knowledge to make sense of it all.

Probability, statistics, and linear algebra sound intimidating, holding you back from pursuing a data science career.

You collect data but struggle to interpret it effectively. You’re unsure how to find meaning and draw valuable insights from your datasets.

You want to transition into a data-driven field but lack the mathematical skills to compete for data science jobs.

Testimonials

Mohit Ranawat

I have successfully made a career transition into DL. Thanks to lively teaching and practical examples which helped me solve any problems and improved my problem-solving capabilities. The data tales provided were some of the best things I have ever seen.

Mohit Ranawat

Sr. Technical Analyst, Cognest.ai

Harish J

As a student of the NLP 100 Hours program, I can say, we got the best instructor. Great case studies, exhaustive hands-on, Good interactivity sessions, and a diverse batch for good networking are the best part of the course.

This is the best course for NLP

Harish J

Data Scientist , Tech Mahindra

Shravya CH

Today was my first day at IIT Hyderabad and making it here as the youngest learner was only possible because of Prudhvi’s mentorship. His way of simplifying concepts and analogies made it easier to recall. Happy to have undertaken this course and this course helped me make my IT dream come true.

Shravya CH

Data Scientist, Accenture